基于视觉信号的推荐与意见挖掘Recommendation and Opinion Mining with Visual Signals |
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课程网址: | https://videolectures.net/videos/kdd2016_mcauley_visual_signals |
主讲教师: | Julian McAuley |
开课单位: | KDD 2016研讨会 |
开课时间: | 2016-10-12 |
课程语种: | 英语 |
中文简介: | 由于人们偏好和风格的复杂语义,构建个性化的时尚推荐系统面临着几个挑战。一个挑战就是需要处理稀疏、长尾的数据集,在这些数据集中,新的内容不断被引入,推荐本身就是一个冷启动问题。另一个挑战是需要对视觉信号进行建模,其中使物品“有吸引力”的语义非常微妙。最后,需要对时间动态进行建模,以解释时尚是如何持续(快速)演变的。在本次演讲中,我们将探讨如何扩展传统的推荐方法,明确地考虑被推荐项目的视觉外观,以克服这些挑战,并提出具有视觉和风格意识的推荐。 |
课程简介: | Building personalized systems for fashion recommendation presents several challenges due to the complicated semantics of people's preferences and styles. One challenge is simply the need to deal with sparse, long-tailed datasets, where new content is constantly introduced and recommendation is inherently a cold-start problem. Another challenge is the need to model visual signals, where the semantics of what makes items "attractive" are incredibly subtle. Finally, there is the need to model temporal dynamics that account for how fashion continually (and rapidly) evolves. In this talk we'll see how traditional recommendation approaches can be extended to explicitly account for the visual appearance of the items being recommended, in order to overcome these challenges and make visually- and stylistically-aware recommendations. |
关 键 词: | 视觉信号; 复杂语义; 时尚推荐系统 |
课程来源: | 视频讲座网 |
数据采集: | 2025-01-08:liyq |
最后编审: | 2025-01-08:liyq |
阅读次数: | 10 |